Comment by Tiberium
7 hours ago
It seems to be extremely economical - 4x better reasoning efficiency compared to Opus while being priced at $2/$6. For comparison, GPT 5.4 is $2.5/$15, GPT 5.5/5.6 are $5/$30, Opus 4.8 is $5/$25, Fable is $10/$50.
And by benchmarks (unless they gamed them), seems to be at around Opus 4.7 level, which is what Elon mentioned in https://x.com/elonmusk/status/2074911038286295049.
I guess the Cursor data was very useful.
The $2/6 pricing seems to only apply for context under 200K.
Above that (max context is 500K) pricing doubles to $4/12.
https://docs.x.ai/developers/models/grok-4.5
Also, the cache hit pricing is 25% of the input pricing ($2 vs $0.50). Long agentic workflows are dominated by cached input. The US frontier labs typically have this at 10% of the input price, and DeepSeek/Xiaomi etc take it to the extreme 1% range (which is why those are cheap to run in real world agentic loops with dozens of toolcalls per run)
Womp. Didn't see this anywhere else.
No longer feels as inexpensive. Will likely just include this in the rolodex of <200k context tasks, like being one of my review agents.
That's very notable and left out of the announcement.
I have a theory that xAI has one of the largest clusters but with far less traffic + tokens to process bc its less popular than its competition, and xAI can pass the savings on to the end user.
Why would having more costs and less income allow them to pass savings on to the end user?
They already invested in the massive datacentres of GPUs sitting idle. They have fewer users so they can deliver more inference per user - more thinking, larger models.
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More like they have a less focus on margins and more on cost recovery.
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“We lose money on every rack, but we make up for it in volume!” - Elon Musk, probably
SpaceX, like Tesla, seems to have the same "portrayals over profits" mindset investors. So it doesn't even really matter whether or not xAI is making any money.
they are renting parts to google for like 1b a month
really dont think they have a lot of idle power
If they've got billions to rent out, they're not using it...
xAI had $2.5B in operating losses in the past quarter. What savings are being passed on?
Profitability is never a constraint for Elon companies. He has always been able to be able to extract money from the middle east, government, banks, retail investors (or these same parties through his other companies) whenever they need more.
His net worth is orders of magnitude bigger than the cumulative profits his companies have ever produced (even if you only count the profitable quarters)
Now if they could have an "equivalent" to Claude's $100 plan with similar compute limits. I have the $40 a month version of Grok and I get a max of like 8 hours of "non-stop" Grok Build coding, per month.
The model is available through Cursor which has $20, $60 and $200 plans. I assume the $60 version might work better for you?
Will have to give that a try I suppose.
Grok Build sucks compare to composer 2.5. Just use compose 2.5 and you'll have basically unlimited usage on the 40$ plan.
Every time I use Composer 2.5 I have to spend a bunch of time cleaning up its mistakes. It is unusable compared to GPT 5.4 or 5.5.
My time is more valuable that I will use a model that doesn’t f** up my code base.
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It is hard to evaluate the model performance of Composer 2.5 when Cursor's harness is so awful compared to the others on the market.
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Composer 2.5 is so underrated IMO. I built a really feature rich application, insanely complicated, close to 200k LOC since it came out and for the most part it ran like a champ. Only used CLaude a couple times to get it unstuck. 8 hours a day and I'm paying about 30 a month.
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Suppose eventually that gravy train will disappear, might as well use it then.
How does it compare to Chinese APIs? It doesn't seem like xAI is meaningfully more competent or any single bit more honest than Chinese labs anyway, so you might as well send tasks straight to China unless theirs is substantially cheaper.
But very expensive compared to Deepseek v4 Pro, which performs similarly.
Grok is stuck in a difficult place - not the best model at anything, and not the cheapest either. It's hard to make a case for using it on any dimension, even before you factor in the history (I'm not sure suggesting the company uses the model that refers to itself as "MechaHitler" is the way to a promotion).
It’s the #1 model for creating CSAM
Around Opus 4.7 level would be the same as Sonnet 5 while being cheaper overall.
I wonder how good their subscription discount is on both their subscription types.
Sonnet 5 is a huge token hog, though, it uses far more reasoning tokens than Opus models while being priced at $2/$10 with promo, and $3/$15 (usual Sonnet price) afterwards.
I'll probably get hate for it, but I was not impressed by Fable, I felt like it was just Opus with more tokens for thinking. I feel like the second I turned on Fable I drained my usage more quickly, despite them billing it as though it were Opus level of usage. The value is just not there for me. I wish they could make Haiku remain low-cost and drastically more capable to the point you could use only Haiku.
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The comparison may be better against GPT 5.6 Terra (instead of Sol), which is $2.5/$15.
We don't yet know Terra's results for DeepSWE/TerminalBench though.
Annoying they didn't show benchmarks for several effort modes, since it seems like it might close the gap with Opus 4.8 by cranking tokens up?
Noam Brown (OpenAI) "Implications of Large-Scale Test-Time Compute" https://xcancel.com/i/article/2064210146558136827